Evidence map›Paper›PMID 30421013›Full record

ArticleEuropean radiology2019

Reliability of fast magnetic resonance imaging for acute ischemic stroke patients using a 1.5-T scanner.

Mi Sun Chung, Ji Ye Lee, Seung Chai Jung, Seunghee Baek, Woo Hyun Shim, Ji Eun Park, Ho Sung Kim, Choong Gon Choi, Sang Joon Kim, Deok Hee Lee and 4 more

Abstract read
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In one paragraph

Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
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  4. Combined acquisition of diffusion and TMagma (New York, N.Y.) · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 3 institutions in 1 country.

Mi Sun ChungDepartment of Radiology, Chung-Ang University Hospital, Seoul, South Korea.
Ji Ye LeeDepartment of Radiology, Soonchunhyang University Bucheon Hospital, Wonmi-gu, Bucheon, South Korea.
Seung Chai JungDepartment of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Song pa-gu, Seoul, 138-736, South Korea. dynamics79@gmail.com.ORCID http://orcid.org/0000-0001-5559-7973
Seunghee BaekDepartment of Clinical Epidemiology and Biostatistics, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Woo Hyun ShimDepartment of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Song pa-gu, Seoul, 138-736, South Korea.
Ji Eun ParkDepartment of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Song pa-gu, Seoul, 138-736, South Korea.
Ho Sung KimDepartment of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Song pa-gu, Seoul, 138-736, South Korea.
Choong Gon ChoiDepartment of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Song pa-gu, Seoul, 138-736, South Korea.
Sang Joon KimDepartment of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Song pa-gu, Seoul, 138-736, South Korea.
Deok Hee LeeDepartment of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Song pa-gu, Seoul, 138-736, South Korea.
Sang-Beom JeonDepartment of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Dong-Wha KangDepartment of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Sun U KwonDepartment of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Jong S KimDepartment of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Ulsan College · KRChung-Ang University Hospital · KRSoonchunhyang University · KR

Funding

Korea Healthcare Technology R&D Project, Ministry for Health, Welfare & Family Affairs, Republic of Korea HI12C1847
6 · The paper itself

Abstract

objectivesTo determine whether fast scanned MRI using a 1.5-T scanner is a reliable method for the detection and characterization of acute ischemic stroke in comparison with conventional MRI.

methodsFrom May 2015 to June 2016, 862 patients (FLAIR, n = 482; GRE, n = 380; MRA, n = 190) were prospectively enrolled in the study, with informed consent and under institutional review board approval. The patients underwent both fast (EPI-FLAIR, ETL-FLAIR, TR-FLAIR, EPI-GRE, parallel-GRE, fast CE-MRA) and conventional MRI (FLAIR, GRE, time-of-flight MRA, fast CE-MRA). Two neuroradiologists independently assessed agreements in acute and chronic ischemic hyperintensity, hyperintense vessels (FLAIR), microbleeds, susceptibility vessel signs, hemorrhagic transformation (GRE), stenosis (MRA), and image quality (all MRI), between fast and conventional MRI. Agreements between fast and conventional MRI were evaluated by generalized estimating equations. Z-scores were used for comparisons of the percentage agreement among fast FLAIR sequences and fast GRE sequences and between conventional and fast MRA.

resultsAgreements of more than 80% were achieved between fast and conventional MRI (ETL-FLAIR, 96%; TR-FLAIR, 97%; EPI-GRE, 96%; parallel-GRE, 98%; fast CE-MRA, 86%). ETL- and TR-FLAIR were significantly superior to EPI-FLAIR in the detection of acute ischemic hyperintensity and hyperintense vessels, while parallel-GRE was significantly superior to EPI-GRE in the detection of susceptibility vessel sign (p value < 0.05 for all). There were no significant differences in the other scores and image qualities (p value > 0.05).

conclusionsFast MRI at 1.5 T is a reliable method for the detection and characterization of acute ischemic stroke in comparison with conventional MRI. KEY POINTS: • Fast MRI at 1.5 T may achieve a high intermethod reliability in the detection and characterization of acute ischemic stroke with a reduction in scan time in comparison with conventional MRI.

Indexed as

Acute DiseaseAdultAgedBrainBrain IschemiaEquipment DesignFemaleHumansMagnetic Resonance AngiographyMagnetic Resonance ImagingMaleMiddle AgedReproducibility of ResultsMagnetic resonance angiographyMagnetic resonance imagingStroke

Identifiers

PMID30421013
OpenAlexW2901266686

What OpenQuestion holds

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Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.